Ebury
Fintech
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Ebury. Skills: Python, SQL, Data Pipelines, Machine Learning. Design, deploy, and evolve ELT/ETL pipelines. Contribute to building ML model infrastructure”
What You'll Achieve.
Move the boundaries of what Fintech can achieve; Lead the Gen-AI revolution; Build infrastructure for AI/ML models; Build infrastructure for LLM-powered Agents
Industry & Context.
Problem solvers; Agile Problem Solver; Deliver smart technical solutions
What They're Looking For.
Must Have
Python, SQL, 5 years of experience in Python and SQL
Nice to Have
LLMs, Vector Databases, AI Agents, DuckDB, DLT, Dimensional Modeling, Data Warehousing, Spanish language skills
What You'll Do.
and evolve ELT/ETL pipelines
Contribute to building ML model infrastructure
Contribute to building LLM-powered Agents infrastructure
Work closely with stakeholders
Identify high-impact opportunities
Apply software practices
Ensure platform scalability
How You'll Work.
Team & Collaboration
Work closely with stakeholders; Collaborate with Data Scientists; Collaborate with Analytics Engineers; Collaborate with Analysts
Communication Scope
Fluent in English
Full Job Description
Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Data Engineer: Drive our AI Revolution we move the boundaries of what Fintech can achieve. Our strategic growth is powered by Data, and we are looking for a Data Engineer who wants to be at the heart of this transformation. We aren't looking for "Jira ticket closers." We want problem solvers, tech enthusiasts, and proactive engineers who want to understand the why and for what behind the data and propose high-value projects that move the needle for the business. The Challenge: Beyond Pipelines to AI-Ready Systems We are at an inflection point. Beyond maintaining a robust platform, we have a massive appetite for Machine Learning, LLMs, and Agents. Your mission won't just be moving bytes; it will be building the infrastructure that enables Ebury to lead the Gen-AI revolution in the financial sector. Your Cutting-Edge Toolkit: Orchestration: Airflow (Cloud Composer) is our backbone. Cloud Power: The full GCP suite (GKE, Cloud Run, Functions, Artifact Registry). Smart Ingestion: We leverage DLT (Data Load Tool) to build seamless and scalable data pipelines. Modeling & Quality: We use dbt at scale, integrating DuckDB to enforce bulletproof Data Contracts. DevOps Culture: Dockerized environments and solid CI/CD are our standard in Github Actions. What You'll Do Architect & Innovate: Design, deploy, and evolve ELT/ETL pipelines from diverse sources (APIs, transactional DBs, file-based endpoints). Champion AI/ML: Actively contribute to building the infrastructure for ML models and LLM-powered Agents. Business
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